Abstract
Genome-wide chromosome conformation capture based on high-throughput sequencing (Hi-C) has been widely adopted to study chromatin architecture by generating datasets of ever-increasing complexity and size. HiCBricks offers user-friendly and efficient solutions for handling large high-resolution Hi-C datasets. The package provides an R/Bioconductor framework with the bricks to build more complex data analysis pipelines and algorithms. HiCBricks already incorporates functions for calling domain boundaries and functions for high-quality data visualization.
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CITATION STYLE
Pal, K., Tagliaferri, I., Livi, C. M., & Ferrari, F. (2020). HiCBricks: Building blocks for efficient handling of large Hi-C datasets. Bioinformatics, 36(6), 1917–1919. https://doi.org/10.1093/bioinformatics/btz808
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